Improving an Intelligent Detection System for Coronary Heart Disease Using a Two-Tier Classifier Ensemble

Table 1

Summarization of existing methods for CHD prediction in chronological order.

Study	Technique	Feature selection	Validation method	Dataset
Ozcift and Gulten [13]	Rotation forest	No	10CV	Cleveland
Muthukaruppan and Er [14]	Fuzzy expert system	No	Hold-out	Cleveland
Nahar et al. [15]	SMO	Yes	10CV	Cleveland
Alizadehsani et al. [16]	Bagging-C4.5	Yes	10CV	Z-Alizadeh Sani
Alizadehsani et al. [17]	SMO	Yes	10CV	Z-Alizadeh Sani
Alizadehsani et al. [18]	SVM	Yes	10CV	Z-Alizadeh Sani
Verma et al. [19]	MLP	Yes	10CV	Cleveland, IGMC
Qin et al. [20]	EA-MFS	Yes	10CV	Z-Alizadeh Sani
Arabasadi et al. [21]	Hybrid NN-GA	Yes	10CV	Z-Alizadeh Sani, Cleveland, Hungarian, Long-beach-va, and Switzerland
Haq et al. [22]	SVM	Yes	10CV	Cleveland
Dwivedi [23]	Logistic regression	No	10CV	Statlog
Ahmadi et al. [24]	NN	Yes	Hold-out	Cleveland
Abdar et al. [25]	SVM	Yes	10CV	Z-Alizadeh Sani
Raza [26]	Voting ensemble	No	10CV	Statlog
Amin et al. [9]	Voting ensemble	Yes	10CV	Cleveland, Statlog
Mohan et al. [27]	HRFLM	No	Notmentioned	Cleveland, Hungarian, Long-beach-va, and Switzerland